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Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

The Hartford

Business Data Analyst

Columbus, OH · Hybrid

$80K - $120K/yr

... and analytics projects. * Deep Insurance Domain fluency, translate regulatory, actuarial and product needs into data logic. * Use GenAI for mapping, profiling, BRD acceleration and Validate AI ...

Collabera

Data Analyst

Hilliard, OH

... Insurance, Disability Insurance. Analyze data for the purpose of identifying data anomalies ... Experience with Oracle or Teradata database desired Prior experience in a data analytics role ...

Westfield

Data Governance Lead

Westfield Center, OH · Hybrid

Familiarity with NAIC guidelines, state insurance data regulations, and financial/actuarial data standards * Experience building governance programs that support AI or advanced analytics enablement

Westfield

Data Governance Lead

Westfield Center, OH · On-site

Familiarity with NAIC guidelines, state insurance data regulations, and financial/actuarial data standards * Experience building governance programs that support AI or advanced analytics enablement

Westfield

Data Governance Lead

Westfield Center, OH · On-site

Familiarity with NAIC guidelines, state insurance data regulations, and financial/actuarial data standards * Experience building governance programs that support AI or advanced analytics enablement

Communicarehealth

Senior Data Analyst

Blue Ash, OH · On-site

$82K - $104K/yr

Key Responsibilities Reporting & Analytics * Develop, maintain, and distribute daily, weekly, and ... Monitor upfront collections, insurance verification, and authorization performance * Support payer ...

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Ohio? The most popular types of Insurance Data Analytics jobs in Ohio are:
What are popular job titles related to Insurance Data Analytics jobs in Ohio? For Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Ohio look for? The top searched job categories for Insurance Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Insurance Data Analytics jobs? Cities in Ohio with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Ohio as of June 2026, with employment types broken down into 79% Full Time, 11% Part Time, 5% Temporary, and 5% Nights. Highlights an 95% In-person, and 5% Hybrid job distribution.

Actuarial Data Analyst

Core Specialty

Cincinnati, OH • Hybrid

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

Job description

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The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth

Key Accountabilities/Deliverables:

  • Execute analysis on data to identify and correct data issues. Extracting data from various sources and transforming that data to perform analysis and create actionable visualizations.

  • Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept and across the organization.

  • Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.

  • Help Others Succeed: Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership and analytical skills are needed to provide a solution. As mentioned, we all work and grow together! The more successful one member is, the more successful we all are.

  • Listen to, understand, and break down questions into manageable tasks.

  • Use a variety of applications and technologies to answer simple and complex questions.

  • Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, Programs and others as needed


Technical Knowledge and Understanding:

  • Intellectual curiosity: Seeking understanding of the answers to, whys of data. Uncovering patterns in data and visuals that some might take for granted and researching. Looking for trends and outliers that may be actionable.

  • Openness to grow and change: the Company is in its infancy regarding our data environment and our analytics platform. Will need to be agile, willing to lean new techniques and tools with us as we grow.

  • Candor: Openness to providing and receiving constructive feedback to facilitate both individual development as well as elevating the overall capabilities of the Company

  • Communication skills: Willingness to ask questions to gain understanding; collaborate effectively both with direct colleagues as well as those in other functional areas; ability to influence and gain buy-in from key stakeholders.


Experience:

  • Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like.

  • 1-3 years of experience in a professional environment working with data, analytics.

  • Functional knowledge, aptitude and understanding of basic data/analytics principles: One to many relationships, many to many relationships, reuse and linkage, data quality, validation data modeling and more.

  • Experience with/or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases and other relational data containers.

  • Experience and/or aptitude in a Microsoft Fabric environment and the tool set included: Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents, prompt engineering.

  • Ability to convert raw data into usable and visualized representations that convey understanding and/or enables accurate execution of needed action.


The expected pay range for the role is $70,000 - $75,000. The specific offer will depend on an applicant's skills and experiences. The disclosed pay range estimate may also be adjusted for the applicable geographic differential for the location in which the position is filled.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.
#LI-Hybrid

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At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program

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